食用向日葵产量性状的遗传研究

以食葵不育系17-A26为母本、恢复系17-C19为父本,构建P₁、P₂、F₁、F₂、B₁和B₂ 6个世代群体,研究了产量相关性状盘径、单株总粒数、结实率、百粒重、粒长和粒宽的后代变异及遗传率。结果表明,6个性状均为数量性状,变异幅度排序为单株总粒数>粒长>盘径>结实率>百粒重>粒宽,狭义遗传率排序为百粒重>粒长>单株总粒数>粒宽>盘径>结实率。根据遗传进度结果,百粒重、粒长、单株总粒数和粒宽宜早代根据表型选择,盘径宜晚代选择,结实率宜晚代结合多环境联合选择。     

极小种群植物“川柿”生物学特性及种子萌发方法研究

摘 要：【目的】为了保护和发展极小种群植物川柿，开展此研究。【方法】采用观测法，连续3年对其生物学特性研究；种子萌发方法：（1）后熟0、30、45、60天，剥离清洗播种；（2）后熟60天，以GA300、600、1000 mg/L溶液浸种1h；播种基质为河沙（保持一定湿度），放置室内，统计萌发时间和出苗率。【结果】（1）川柿花期4-5月，10月为果熟期，单果直径32.7±5.80mm，单果重23.0±5.30g；种子肾形、千粒重1070g；成年植株呈隔年开花、结果现象；（2）种子经“后熟+河沙播种”，可萌发，其中以后熟60天的出苗率较高，为65%；直接播种种子，出苗率5%；“后熟+GA溶液浸种+河沙播种”，出苗率均高于65%，其中以GA600mg/L浸泡1h处理，出苗率最高为83.3%。【结论】极小种群植物川柿为常绿叶乔木，有隔年开花、结果现象； “果后熟60天+GA600mg/L浸泡种子1h +室内河沙播种”可提高种子萌发率，为川柿种子繁殖提供参考。     

5种生物制剂对马铃薯种薯萌芽、极端天气下植株生长和产量性状的影响

旨在满足马铃薯生产中茬口衔接、机械化生产技术应用、不利气候下稳产等对马铃薯出苗早、齐、壮的需求,以‘费乌瑞它’为供试品种,用基于有益活菌或工程菌提取物的5种生物制剂进行种薯处理,对多重性状进行了对比分析。5种生物制剂较常规化学制剂,均能够不同程度地促进种薯萌芽和芽根同生,出苗期提前2~7天,播种后49天的出苗率提高3.33%~17.78%。其中,表现最好的为酵母核苷酸衍生物和VDAL,种薯萌发和生根均显著高于对照。霜冻后,生物剂拌种处理在恢复前期促进植株生长,由此促进恢复后期的块茎发育,较常规化学处理增产8.39%~24.03%,体现了不同程度的保产效果。多马道黑、酵母核苷酸衍生物、根肽和VDAL体现出较好的保产效果,可作为种薯处理剂投入马铃薯生产。     

Quantitative trait loci responsible for the difference in γ-oryzanol content in brown rice between japonica-type and indica-type rice cultivars

γ-Oryzanol is a main oleophilic component in rice bran oil and has been well recognized as a good dietary supplement for human health, as well as having uses in industrial materials. japonica-type rice cultivars generally showed significantly higher contents of total γ-oryzanol in brown rice compared with indica-type cultivars, although within-group variation was significant. The objective of this study was to explore quantitative trait loci (QTLs) responsible for the difference in the γ-oryzanol content between japonica-type and indica-type rice cultivars, using recombinant inbred lines (RILs), backcross inbred lines (BILs), and corresponding chromosome segment substitution lines (CSSLs) derived from crosses between japonica-type and indica-type. Results from RILs and BILs showed that eight QTLs were detected with R² from .09 to .16. Nine candidate regions for QTL were also suggested from corresponding CSSLs. These QTLs from RILs and BILs and the candidate regions from CSSLs were not overlapped, although one QTLs was mapped near the boundaries of the respective candidate region. At four QTLs and three candidate regions, alleles or segments from japonica-type caused higher contents than those from indica-type. On the other hand, at the other four QTLs and six candidate regions, alleles or segments from indica-type caused higher contents than those from japonica-type, which is a reverse result to the parental differences. This result strongly suggested that alleles with increasing effects on γ-oryzanol content could be accumulated not only from japonica-type but also from indica-type, leading to a potential for increase in γ-oryzanol content in future breeding programs.     

Bulk pollen pollination in maize for efficient construction of introgression populations with high genome coverage

Introgression populations consist of a set of introgression lines or families, constructed by continuous backcrossing to the recurrent parent, while carrying a limited number of chromosome segments from a donor parent in their genomes. Increasing the genome coverage is an important aim when constructing introgression population. In this study, we proposed bulk pollen pollination (BPP) method and used it to increase the genome coverage of a maize introgression population. The results showed that the genome coverage of the introgression population constructed using BPP method reached 100% at BC₃ generation, which accorded with the simulation result. The BPP‐based BC₃F_1:2 population could identify most quantitative trait loci (QTL) detected using the F_2:3 population, especially major QTL. Simulation analysis showed that the genome coverage of introgression population increased with the increase of population size and the number of bulked plants, and decreased with the increase of backcross generation. Our results proved the reliability of the BPP‐based introgression population in increasing genome coverage and detecting QTL, and provided references for constructing high‐coverage introgression populations.     

Pigeonpea improvement: An amalgam of breeding and genomic research

In the past five decades, constant research has been directed towards yield improvement in pigeonpea resulting in the deployment of several commercially acceptable cultivars in India. Though, the genesis of hybrid technology, the biggest breakthrough, enigma of stagnant productivity still remains unsolved. To sort this productivity disparity, genomic research along with conventional breeding was successfully initiated at ICRISAT. It endowed ample genomic resource providing insight in the pigeonpea genome combating production constraints in a precise and speedy manner. The availability of the draft genome sequence with a large‐scale marker resource, oriented the research towards trait mapping for flowering time, determinacy, fertility restoration, yield attributing traits and photo‐insensitivity. Defined core and mini‐core collection, still eased the pigeonpea breeding being accessible for existing genetic diversity and developing stress resistance. Modern genomic tools like next‐generation sequencing, genome‐wide selection helping in the appraisal of selection efficiency is leading towards next‐generation breeding, an awaited milestone in pigeonpea genetic enhancement. This paper emphasizes the ongoing genetic improvement in pigeonpea with an amalgam of conventional breeding as well as genomic research.     

基于P-S-R框架模型试点研究高寒地区生态承载力——以甘肃省迭部县为例

全面客观评价生态资源承载能力,进而为区域可持续发展提供理论依据。以甘肃省迭部县为例,首先,采用压力-状态-响应(P-S-R)模型构建生态承载力评估指标体系,运用层次分析法(Analytic Hierarchy Process,AHP)确定各指标权重,评估生态环境承载力现状;其次,在生态功能区层面对迭部县水源涵养功能及生物多样性功能进行评价;最后,对生态承载力状况进行成因解析。研究结果表明：（1）迭部县整体生态承载力得分为0.239,处于“较强”承载力状态,构成整体生态承载力的生态弹性力、资源和环境承载力和人类社会影响力得分分别为0.222、0.062和0.063。（2）2016年,迭部县单位面积水源涵养量为111.76 mm,水源涵养功能处于“高”状态,其中,水源涵养功能较高地区主要集中在以草地和针阔混交林为主的区域。（3）自然栖息地面积占迭部县总面积的83.67%,其自然栖息质量指数(Natural Habitant Quality Index,NHQI)处于“高”状态。（4）从自然和经济2个因素进行分析,发现迭部县生态环境条件较好,但林草地面积已呈现出逐渐减少状态,因此需要通过合理科学的开发引导,发展文化旅游事业,推动迭部县的可持续发展。     

绿色超级稻品种的农艺与生理性状分析

探明绿色超级稻的农艺与生理性状,对于培育和选用绿色超级稻品种有重要意义。本研究以4个绿色超级稻品种为材料,1个超级稻品种和1个非超级稻品种为对照,观察了绿色超级稻的农艺与生理表现。结果表明,与对照品种相比,绿色超级稻品种具有较高的产量和氮素利用效率。绿色超级稻品种较高的产量得益于总颖花数和结实率的同步提高,较高的氮素利用率主要在于较高的植株氮素籽粒生产效率(氮素内部利用效率)。绿色超级稻具有较高的茎蘖成穗率和粒叶比,抽穗期较高的糖花比,灌浆期较高的作物生长速率、净同化率、根系氧化力和茎中同化物向籽粒的运转率和成熟期较高的收获指数。这些性状与产量及植株氮素籽粒生产效率均呈极显著的正相关。建议将上述性状作为培育和选用绿色超级稻品种的参考指标。     

普通小麦主要农艺性状的全基因组关联分析

为解析小麦复杂农艺性状的遗传机制,本研究以150份小麦品种(系)为自然群体,在4个环境条件下测定了9个主要农艺性状,利用小麦35K SNP芯片,结合5种关联模型(Q、PCA、K、PCA+K、Q+K),进行全基因组关联分析。结果表明,全基因组多态性信息量PIC的范围为0.0950～0.5000,最小等位基因频率MAF值为0.0500～0.5000;群体结构分析和PCA分析均表明参试材料可分为两个亚群;连锁不平衡分析发现A基因组、B基因组、D基因组和全基因组的LD衰减距离分别为4.7、8、11和6 Mb。9个性状共检测到652个显著的关联位点(P≤0.001),其中21个SNP在2个或2个以上的环境中被重复检测到,分布在1A(1)、1B(4)、2A(3)、2D(2)、3A(1)、5A(1)、5B(5)、6A(1)、6B(2)和7D(3)染色体上; 1个SNP标记的物理位置未知, 3个SNP标记同时与2个性状显著关联;单个SNP的表型贡献率为7.67%～18.79%。8个优势等位变异在供试群体中所占比例较低,筛选出14个可能与小麦农艺性状相关的候选基因,其中TraesCS5B02G237200、TraesCS7D02G129700和TraesCS1B02G426300可能在植物抵御生物与非生物胁迫中起作用,TraesCS5B02G010800和TraesCS7D02G436800可能与植物激素的合成和响应有关,TraesCS2A02G092200可能与植物细胞壁的增强有关, TraesCS5A02G438800可能参与叶绿体发育,另外7个候选基因的功能未知。     

五大连池火山山杨叶功能性状的变异特征

  目的  探讨五大连池火山山杨叶功能性状特征，揭示植物对火山生境的适应，以及对不同坡向的生存策略，为特殊生境和微地形生境下植物的适应机制提供参考依据。  方法  以5座火山共有植物山杨为对象，测定叶面积（LS）、叶厚度（LT）、比叶面积（SLA）、叶干物质量（LDMC）、叶碳含量（LCC）、叶氮含量（LNC）、叶磷含量（LPC）和叶氮磷比（LNP）等8种功能性状在坡向间、火山间的变化规律和变异特征，分析叶功能性状间相互关系和主成分。  结果  （1）除LCC外，其他7种功能性状在南北坡向间均具有显著差异，LT、LDMC、LNC、LNP表现为南坡大于北坡，而LS、LCC、LPC表现为南坡小于北坡。（2）山杨SLA、LCC、LPC在新、老期火山间差异显著，但在老期火山间差异不显著。（3）火山南坡、北坡山杨LT与LDMC呈显著负相关，南、北坡向及火山间山杨LNP与LNC均呈极显著正相关、与LPC呈极显著的负相关关系。（4）火山环境中山杨LNP、LPC、LNC和LS在叶功能性状分化中起到主要贡献作用。  结论  五大连池火山山杨叶功能性状的变异与火山喷发的特殊性有关，山杨通过调节自身功能性状形成不同的生存策略来适应南、北坡向和不同火山环境，在生长过程中更容易受到氮元素缺乏的限制。火山森林生态系统是一个特殊环境，研究火山植被演替和植物功能性状等问题需要结合火山喷发的特殊情况深入讨论。